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Spatial congruence among indicators of recovery completeness in a Mediterranean forest landscape: Implications for planning large-scale restoration
- Source :
- e_Buah Biblioteca Digital Universidad de Alcalá, instname
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- Natural regeneration has been proposed as a cost-effective forest restoration approach for both small and large-scale initiatives. However, attributes for assessing the success of forest restoration through natural regeneration may vary among them in spatial patterns depending on the scale of analysis and on environmental gradients. Here we analysed the spatial patterns of recovery completeness (i.e. how similar attributes in restored forests are to the same attributes in reference forests) in response to environmental factors in a Mediterranean forest landscape of Central Chile. We evaluated (1) forest recovery completeness using basal area (BA), quadratic mean diameter (QMD), adult species density (ASD), adult species richness (ASR), and seedling species richness (SSR); (2) the spatial congruence of recovery completeness estimated by each of these indicators; and (3) the environmental factors potentially shaping these spatial patterns. We used field measurements and geospatial information sources to quantify and predict indicator responses by fitting boosted regression tree models. To assess the spatial congruence of predictions we overlaid high-level recovery completeness values for all indicators. Overall recovery completeness in the study area was 72.7%, suggesting positive prospects for attaining fully restored forests. Recovery completeness had a resulted higher for diversity (92.3%-99.6%) than structural forest attributes (33.5%-76.9%); however, spatial congruence among recovery indicators was low due to the uneven spatial responses of each indicator. The maximum potential spatial congruence was<br />Universidad de La Frontera<br />Fundación de Apoyo a la Investigación del Estado de Sao Paulo
- Subjects :
- 0106 biological sciences
Mediterranean climate
Geospatial analysis
General Decision Sciences
010501 environmental sciences
computer.software_genre
010603 evolutionary biology
01 natural sciences
Environmental science
Basal area
Forest restoration
Boosted regression tree
Natural regeneration
Landscape forest restoration
Quadratic mean diameter
Ecology, Evolution, Behavior and Systematics
0105 earth and related environmental sciences
Ecology
Restoration indicator
Medio Ambiente
Geography
Spatial ecology
Species richness
Physical geography
Vegetation recovery
Completeness (statistics)
computer
Subjects
Details
- ISSN :
- 1470160X
- Volume :
- 102
- Database :
- OpenAIRE
- Journal :
- Ecological Indicators
- Accession number :
- edsair.doi.dedup.....a769b6b3d886e2b4c4007439e47f4b6a
- Full Text :
- https://doi.org/10.1016/j.ecolind.2019.03.046